Package Recipe 'bioconductor-hicbricks'

recipe bioconductor-hicbricks

Framework for Storing and Accessing Hi-C Data Through HDF Files

Homepage: https://bioconductor.org/packages/3.11/bioc/html/HiCBricks.html
License: MIT + file LICENSE
Recipe: /bioconductor-hicbricks/meta.yaml

HiCBricks is a library designed for handling large high-resolution Hi-C datasets. Over the years, the Hi-C field has experienced a rapid increase in the size and complexity of datasets. HiCBricks is meant to overcome the challenges related to the analysis of such large datasets within the R environment. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates example algorithms for calling domain boundaries and functions for high quality data visualization.

package bioconductor-hicbricks¶

Versions

1.6.0-0, 1.4.0-0, 1.2.0-1, 1.0.0-0

Depends

bioconductor-biocparallel >=1.22.0,<1.23.0
bioconductor-genomeinfodb >=1.24.0,<1.25.0
bioconductor-genomicranges >=1.40.0,<1.41.0
bioconductor-iranges >=2.22.0,<2.23.0
bioconductor-rhdf5 >=2.32.0,<2.33.0
bioconductor-s4vectors >=0.26.0,<0.27.0
r-base >=4.0,<4.1.0a0
r-curl
r-data.table
r-digest
r-ggplot2
r-jsonlite
r-r.utils
r-r6
r-rcolorbrewer
r-readr
r-reshape2
r-scales
r-stringr
r-tibble
r-viridis

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-hicbricks

and update with:

conda update bioconductor-hicbricks

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-hicbricks:<tag>

(see bioconductor-hicbricks/tags for valid values for <tag>)

Link to this page¶

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-hicbricks/README.html)